zope.deferredimport allows you to perform imports names that will only be resolved when used in the code.
Often, especially for package modules, you want to import names for convenience, but not actually perform the imports until necessary. The zope.deferredimport package provided facilities for defining names in modules that will be imported from somewhere else when used. You can also cause deprecation warnings to be issued when a variable is used.
acquired package info from repodata DB: repodata/69e709f4d2852d98f12867a74015d19384fe2727ff670fd70178cdde80b1e77e-primary.sqlite.bz2
This package supports the efficient creation of "hookable" objects, which are callable objects that are meant to be optionally replaced. The idea is that you create a function that does some default thing and make it hookable. Later, someone can modify what it does by calling its sethook method and changing its implementation. All users of the function, including those that imported it, will see the change.
This package is intended to be independently reusable in any Python project. This package represents the core of the Zope Component Architecture. Together with the zope.interface_ package, it provides facilities for defining, registering and looking up components.
This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of "object interfaces" for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as implementation of the Design By Contract methodology support in Python.
The zope.event package provides a simple event system. It provides an event publishing system and a very simple event-dispatching system on which more sophisticated event dispatching systems can be built. (For example, a type-based event dispatching system that builds on zope.event can be found in zope.component.) This package contains the version for Python 3.
Interpreter of the Python3 programming language
Python combines remarkable power with very clear syntax. It has modules, classes, exceptions, very high level dynamic data types, and dynamic typing. There are interfaces to many system calls and libraries, as well as to various windowing systems. New built-in modules are easily written in C or C++ (or other languages, depending on the chosen implementation). Python is also usable as an extension language for applications written in other languages that need easy-to-use scripting or automation interfaces. This package Provides python version 3.
Easily build and distribute Python 3 packages
Setuptools is a collection of enhancements to the Python 3 distutils that allow you to more easily build and distribute Python 3 packages, especially ones that have dependencies on other packages. This package also contains the runtime components of setuptools, necessary to execute the software that requires pkg_resources.py.
This package provides a simple function called deprecated(names, reason) to mark deprecated modules, classes, functions, methods and properties.